Bioinformatician I - Genomics of Aging & Psychiatry

The Bioinformatician I manages and organizes large databases, and conducts statistical and genomic analysis. Uses software to gather, store, manipulate and analyzes research data.

The laboratory in ‘Genomics of Aging and Psychiatry spectrum’ – GAPsLab  at the Institute of Genomic Health and the Department of Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai, is a new multi-disciplinary research group focused on studying the role of mental health on aging and age-related conditions Under the general supervision of the Principal Investigator (PIs), the Bioinformatician/Human Genetic Data Analyst will provide analytical expertise to support cutting-edge research projects. The role focuses on genomic data analysis, systems biology, and computational modeling within the context of aging, psychiatry, and disease mechanisms. The successful candidate will collaborate with faculty, researchers, and clinicians to solve complex biological problems using advanced bioinformatics tools and techniques, contributing to scientific discovery and therapeutic development.

• Perform advanced bioinformatics analysis of high-throughput genomic and transcriptomic data, including next-generation sequencing (NGS), microarrays, and other multi-omics datasets.
• Apply computational tools and algorithms to analyze large-scale datasets, including gene expression, variant calling, pathway analysis, and functional annotation.
• Develop, implement, and optimize bioinformatics pipelines and workflows for efficient data processing, analysis, and visualization.
• Integrate genomic, clinical, epidemiological, and other research data to identify biomarkers, disease pathways, and potential therapeutic targets.
• Collaborate with interdisciplinary teams, including biologists, clinicians, statisticians, and engineers, to interpret data, inform study designs, and drive project outcomes.
• Communicate findings effectively through detailed reports, visualizations, presentations, and contributions to scientific publications and grant proposals.
• Stay updated on emerging bioinformatics technologies and methodologies, integrating novel approaches to enhance research outcomes.
• Train and mentor graduate students and researchers in bioinformatics tools, methodologies, and best practices.
• Contribute to the development of new computational tools, algorithms, and research methodologies as required.
• Perform other related duties as assigned.

• B.S. in Biological Sciences, Bioinformatics, Computational Biology, Genomics, Computer Science, Data Science or related discipline; M.S. or Ph.D. preferred
• 3 years experience required in bioinformatics or genomic data analysis (Master’s degree) or equivalent with a strong record of research and publications.
• Proficiency in programming languages such as Python, R, SAS, SQL, or Perl for data analysis and pipeline development.
• Experience with cloud computing platforms (e.g., AWS, Google Cloud) and large-scale data storage systems.
• Strong analytical and problem-solving skills with demonstrated independence in handling complex tasks.

Preferred:

• Experience with machine learning or AI techniques applied to genomic data.
• Familiarity with clinical data integration and electronic health record (EHR) systems.
• Knowledge of scientific databases such as NCBI, UCSC Genome Browser, Ensembl, and other large-scale genomic resources.
• Publication record in bioinformatics, genomics, or a related field.
• Experience in academic or medical research settings, including experimental design, grant writing, and manuscript preparation.
• Strong understanding of molecular biology, genomics, and systems biology concepts.
• Familiarity with NGS data analysis workflows (e.g., RNA-Seq, DNA-Seq, ChIP-Seq, ATAC-Seq, single-cell RNA-Seq).
• Expertise in bioinformatics tools and software for genomic data analysis (e.g., GATK, Bowtie, STAR, DESeq2).
• Working experience with genetics or statistics analysis software and online resources. Experience in programming environments such as Matlab, R statistical package, BioConductor, Perl or C++.

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. This includes advocating for equitable policies, addressing barriers that limit potential, and standing in solidarity with colleagues who face unfair treatment.

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About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. 

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